Patent application number | Description | Published |
20090109237 | Generating colorimetric profiles from spectral data and user input - A profile generation module which generates colorimetric color profiles based on spectral data and user input on viewing conditions, light source, and medium. In situations where the available color profiles are colorimetric, the colorimetric color profiles are passed to the color management system. In situations where spectral color profiles are available, the profile generation module accesses the spectral profile and the user input. If the user input specifies a medium, the profile generation module also accesses the media module to predict spectral reflectance data for the specified medium. The profile generation module generates the calorimetric color appearance profile based on the user input, and generates the calorimetric color device profile based on the user input and the spectral data. In this way, calorimetric color profiles are generated as needed, and spectral data can be used with calorimetrically based color management systems. | 04-30-2009 |
20100157092 | GENERATING A COLOR CHARACTERIZATION MODEL FOR AN INPUT IMAGING DEVICE - A method of generating a color characterization model for an input imaging device includes capturing a target having plural patches using the input imaging device to produce plural digital values in a device-dependent color space, the plural digital values having corresponding target measurements in a color characterization set. The method further includes determining if any of the plural digital values are collinear with each other, and removing, in a case where it is determined that digital values are collinear with each other, at least one of the collinear digital values and corresponding target measurements from the color characterization data set. In addition, the method includes generating the color characterization model for the input imaging device based on the plural digital values and corresponding target measurements remaining in the color characterization set. An apparatus for generating a color characterization model for an input imaging device is also provided. | 06-24-2010 |
20100158367 | MODELING SPECTRAL CHARACTERISTICS OF AN INPUT IMAGING DEVICE - A method of modeling spectral characteristics of an input imaging device comprising includes adjusting digital values measured from a target to be linear relative to luminance of neutral patches of the target, for each channel of the input imaging device. The method further includes modifying the adjusted digital values to compensate for cross-channel interaction, for each channel of the input imaging device. In addition, the method includes converting the modified digital values to a spectrum, for each channel of the imaging device. An apparatus for modeling spectral characteristics of an input imaging device is also provided. | 06-24-2010 |
20100164980 | CONVERTING DIGITAL VALUES CORRESPONDING TO COLORS OF AN IMAGE FROM A SOURCE COLOR SPACE TO A DESTINATION COLOR SPACE - The conversion of colors of an image from a source color space to a destination color space, the source color space being represented by a source color space transformation associated with a source color profile, and the destination color space being represented by a destination color space transformation associated with a destination color profile, is provided. Digital values corresponding to colors contained in the image are converted from the source color space to digital values in a device-independent color space, using the source color space transformation. A gamut mapping is determined from a source color gamut to a destination color gamut, by using a source gamut boundary description constructed from a source image profile which is separate from the source color profile, or by using a destination gamut boundary description constructed from a destination image profile which is separate from the destination color profile. The digital values in the device-independent color space are converted to corresponding digital values in the device-independent color space using the gamut mapping, wherein the converted digital values represent gamut mapped digital values between the source gamut boundary description and the destination gamut boundary description. The gamut mapped digital values in the device-independent color space are transformed to corresponding digital values in the destination color space, using the destination color space transformation. | 07-01-2010 |
20120281009 | Encoding, Decoding, and Representing High Dynamic Range Images - Techniques are provided to encode and decode image data comprising a tone mapped (TM) image with HDR reconstruction data in the form of luminance ratios and color residual values. In an example embodiment, luminance ratio values and residual values in color channels of a color space are generated on an individual pixel basis based on a high dynamic range (HDR) image and a derivative tone-mapped (TM) image that comprises one or more color alterations that would not be recoverable from the TM image with a luminance ratio image. The TM image with HDR reconstruction data derived from the luminance ratio values and the color-channel residual values may be outputted in an image file to a downstream device, for example, for decoding, rendering, and/or storing. The image file may be decoded to generate a restored HDR image free of the color alterations. | 11-08-2012 |
20130064462 | Efficient Decoding and Post-Processing of High Dynamic Range Images - A decoder receives for decoding and post-processing for display an HDR (high dynamic range) image comprising a first coded image (e.g., a JPEG-HDR baseline image) and a second coded image (e.g., a JPEG-HDR ratio image). The first coded image is partially decoded and post-processed according to a post-processing command (e.g., scaling) to output a first decoded and post-processed image. The second coded image is also partially decoded and post-processed according to the post-processing command to output a second decoded and post-processed image. The first and the second decoded and post-processed images are combined to output a decoded HDR image according to the post-processing command. | 03-14-2013 |
20130071022 | Encoding, Decoding, and Representing High Dynamic Range Images - Techniques are provided to encode and decode image data comprising a tone mapped (TM) image with HDR reconstruction data in the form of luminance ratios and color residual values. In an example embodiment, luminance ratio values and residual values in color channels of a color space are generated on an individual pixel basis based on a high dynamic range (HDR) image and a derivative tone-mapped (TM) image that comprises one or more color alterations that would not be recoverable from the TM image with a luminance ratio image. The TM image with HDR reconstruction data derived from the luminance ratio values and the color-channel residual values may be outputted in an image file to a downstream device, for example, for decoding, rendering, and/or storing. The image file may be decoded to generate a restored HDR image free of the color alterations. | 03-21-2013 |
20130294689 | Encoding, Decoding, and Representing High Dynamic Range Images - Techniques are provided to encode and decode image data comprising a tone mapped (TM) image with HDR reconstruction data in the form of luminance ratios and color residual values. In an example embodiment, luminance ratio values and residual values in color channels of a color space are generated on an individual pixel basis based on a high dynamic range (HDR) image and a derivative tone-mapped (TM) image that comprises one or more color alterations that would not be recoverable from the TM image with a luminance ratio image. The TM image with HDR reconstruction data derived from the luminance ratio values and the color-channel residual values may be outputted in an image file to a downstream device, for example, for decoding, rendering, and/or storing. The image file may be decoded to generate a restored HDR image free of the color alterations. | 11-07-2013 |